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math.NA2025
-SVD via Sketching and the Nearest -orthogonal Matrix
Davide Palitta, Valeria Simoncini
Sketching techniques have gained popularity in numerical linear algebra to accelerate the solution of least squares problems. The so-called -subspace embedding propert…
math.NA2025
A subspace-conjugate gradient method for linear matrix equations
Davide Palitta, Martina Iannacito, Valeria Simoncini
The efficient solution of large-scale multiterm linear matrix equations is a challenging task in numerical linear algebra, and it is a largely open problem. We propose a new iterat…